offensive-lorawan-sub-ghz
LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz protocol replay (KeeLoq garage doors, fixed-code remotes, TPMS spoofing, smart plug telemetry), HackRF / RTL-SDR / Flipper Zero workflows, signal analysis with Inspectrum / Universal Radio Hacker, and reconstruction of proprietary packet formats. Use for LoRaWAN deployments (smart cities, asset tracking, industrial telemetry), or any wireless device using the unlicensed 433/868/915 MHz bands (garage openers, doorbells, IoT sensors, RC equipment).
69
84%
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Critical
Do not install without reviewing
Security
3 findings: 2 critical severity, 1 high severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E005: Suspicious download URL detected in skill instructions.
What this means
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
Why it was flagged
Two of the listed GitHub repositories are explicit attack/tooling projects that can distribute scripts or binaries used for offensive actions and thus pose a moderate-to-high security risk if fetched and run without review.
E006: Malicious code pattern detected in skill scripts.
What this means
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
Why it was flagged
This document is an explicit offensive guide describing how to capture, decrypt, replay, and inject sub-GHz and LoRaWAN radio traffic (including extracting keys from firmware), enabling unauthorized access, control of devices, and safety-impacting spoofing.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The prompt instructs the user/agent to extract AppKey/NwkSKey/AppSKey and then pass them verbatim on the command line (e.g., --nwkskey <NWKS> --appskey <APPS>), which requires the LLM to handle and output secret values directly, creating an exfiltration risk.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill includes an explicit fetch-and-execute instruction ("git clone https://github.com/IoTsec/loraserver-attack-tools" followed by "python lora_inject.py") which instructs runtime retrieval of remote code and executing it, creating a high-confidence dependency on that external URL.
- Repository
- SnailSploit/Claude-Red
- Commit
24d7968
- Audited
- Security analysis
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